__HTML_TAG_122_ Todas las miradas Comandos

Glances Cheatsheet¶

Instalación¶

Platform	Command
Ubuntu/Debian	INLINE_CODE_10
RHEL/CentOS/Fedora	INLINE_CODE_11 or INLINE_CODE_12
Arch Linux	INLINE_CODE_13
macOS (Homebrew)	INLINE_CODE_14
Windows (pip)	INLINE_CODE_15
Windows (Chocolatey)	INLINE_CODE_16
Docker	INLINE_CODE_17
Python pip (all platforms)	INLINE_CODE_18
With all features	INLINE_CODE_19
From source	INLINE_CODE_20

Comandos básicos¶

Command	Description
INLINE_CODE_21	Launch glances with default settings
INLINE_CODE_22	Set refresh interval to 5 seconds
INLINE_CODE_23	Display version information
INLINE_CODE_24	Show help and available options
INLINE_CODE_25	Show per-CPU statistics by default
INLINE_CODE_26	Show only active processes with short names
INLINE_CODE_27	Filter processes by name (e.g., "python")
INLINE_CODE_28	Show processes for specific user
INLINE_CODE_29	Use white theme (black background)
INLINE_CODE_30	Disable background colors
INLINE_CODE_31	Display temperature in Fahrenheit instead of Celsius
INLINE_CODE_32	Display network rate in bytes per second
INLINE_CODE_33	Limit displayed processes to 50
INLINE_CODE_34	Hide kernel threads from process list
INLINE_CODE_35	Disable bold text in interface

Interactive Keyboard Shortcuts¶

Key	Description
INLINE_CODE_36 or INLINE_CODE_37	Quit glances
INLINE_CODE_38	Display help screen
INLINE_CODE_39	Sort processes by CPU usage
INLINE_CODE_40	Sort processes by memory usage
INLINE_CODE_41	Sort processes by process name
INLINE_CODE_42	Sort processes by I/O rate
INLINE_CODE_43	Sort processes by process time
INLINE_CODE_44	Sort processes by user
INLINE_CODE_45	Kill selected process (requires confirmation)
INLINE_CODE_46	Renice (change priority) selected process
INLINE_CODE_47	Toggle between global CPU and per-CPU statistics
INLINE_CODE_48	Show/hide disk I/O stats
INLINE_CODE_49	Show/hide filesystem stats
INLINE_CODE_50	Show/hide network stats
INLINE_CODE_51	Show/hide sensors
INLINE_CODE_52	Show/hide left sidebar
INLINE_CODE_53	Show/hide processes list
INLINE_CODE_54	Toggle network rate between bits/s and bytes/s
INLINE_CODE_55	Delete warning logs
INLINE_CODE_56	Delete warning and critical logs
INLINE_CODE_57	Show/hide Docker containers
INLINE_CODE_58	Toggle process tree view
INLINE_CODE_59	Navigate through process list
INLINE_CODE_60	Tag/untag process for bulk operations

Advanced Usage¶

Command	Description
INLINE_CODE_61	Start in server mode (default port 61209)
INLINE_CODE_62	Start server on custom port 8080
INLINE_CODE_63	Start server with password authentication
INLINE_CODE_64	Bind server to specific IP address
INLINE_CODE_65	Connect to remote glances server
INLINE_CODE_66	Connect to server on custom port
INLINE_CODE_67	Start web server mode (default port 61208)
INLINE_CODE_68	Start web server on custom port
INLINE_CODE_69	Web server with authentication
INLINE_CODE_70	Make web server accessible from all interfaces
INLINE_CODE_71	Enable Docker container monitoring
INLINE_CODE_72	Export metrics to CSV file
INLINE_CODE_73	Export metrics to InfluxDB
INLINE_CODE_74	Export metrics for Prometheus scraping
INLINE_CODE_75	Export metrics to JSON file
INLINE_CODE_76	Disable specific plugins
INLINE_CODE_77	Start SNMP server mode
INLINE_CODE_78	Connect via SNMP
INLINE_CODE_79	Log output to file
INLINE_CODE_80	Enable debug logging

Docker Usage¶

Run Glances in Docker Container¶

# Basic container with web interface
docker run -d --restart="always" \
  -p 61208-61209:61208-61209 \
  -e GLANCES_OPT="-w" \
  -v /var/run/docker.sock:/var/run/docker.sock:ro \
  --pid host \
  nicolargo/glances

# With custom configuration file
docker run -d \
  -v /path/to/glances.conf:/glances/conf/glances.conf \
  -p 61208-61209:61208-61209 \
  -e GLANCES_OPT="-w" \
  nicolargo/glances

# Server mode only
docker run -d \
  -p 61209:61209 \
  -e GLANCES_OPT="-s" \
  --pid host \
  nicolargo/glances

Configuración¶

Glances utiliza un archivo de configuración ubicado en: - Linux: ~/.config/glances/glances.conf_ o __INLINE_CODE_82_ - MacOS ~/Library/Application Support/glances/glances.conf - Windows: %APPDATA%\glances\glances.conf

Basic Configuration Ejemplo¶

[global]
# Refresh rate in seconds
refresh=2
# Check for updates
check_update=false

[cpu]
# CPU thresholds (%)
careful=50
warning=70
critical=90

[mem]
# Memory thresholds (%)
careful=50
warning=70
critical=90

[memswap]
# Swap thresholds (%)
careful=50
warning=70
critical=90

[load]
# Load average thresholds (per CPU)
careful=0.7
warning=1.0
critical=5.0

[network]
# Hide network interfaces
hide=lo,docker.*
# Show cumulative values
cumulative=False

[diskio]
# Hide disk devices
hide=loop.*,/dev/loop.*

[fs]
# Hide filesystems
hide=/boot.*,/snap.*
# Careful threshold (%)
careful=50
warning=70
critical=90

[folders]
# Monitor specific folders
folder_1_path=/home
folder_1_careful=2500
folder_1_warning=3000
folder_1_critical=3500

[sensors]
# Temperature thresholds (Celsius)
temperature_core_careful=60
temperature_core_warning=70
temperature_core_critical=80

[processlist]
# CPU thresholds for processes (%)
cpu_careful=50
cpu_warning=70
cpu_critical=90
# Memory thresholds for processes (%)
mem_careful=50
mem_warning=70
mem_critical=90

[docker]
# Enable Docker monitoring
disable=False
# Maximum containers to display
max_name_size=20

Configuración del servidor web¶

[outputs]
# Export to CSV
export_csv_file=/tmp/glances.csv
export_csv_overwrite=False

# Export to InfluxDB
export_influxdb=True
influxdb_host=localhost
influxdb_port=8086
influxdb_user=root
influxdb_password=root
influxdb_db=glances

# Export to Prometheus
export_prometheus=True
prometheus_port=9091
prometheus_prefix=glances

[serverlist]
# Remote servers to monitor
server_1_name=prod-server-1
server_1_alias=Production 1
server_1_host=192.168.1.100
server_1_port=61209
server_2_name=prod-server-2
server_2_alias=Production 2
server_2_host=192.168.1.101
server_2_port=61209

RESTful API Usage¶

API Endpoints¶

Endpoint	Description
INLINE_CODE_85	Get server status
INLINE_CODE_86	Get server configuration
INLINE_CODE_87	Get all stats in JSON format
INLINE_CODE_88	Get CPU statistics
INLINE_CODE_89	Get memory statistics
INLINE_CODE_90	Get swap memory statistics
INLINE_CODE_91	Get load average
INLINE_CODE_92	Get network statistics
INLINE_CODE_93	Get disk I/O statistics
INLINE_CODE_94	Get filesystem statistics
INLINE_CODE_95	Get process list
INLINE_CODE_96	Get sensors data
INLINE_CODE_97	Get Docker containers stats
INLINE_CODE_98	Get specific process info

API Ejemplos¶

# Get CPU stats
curl http://localhost:61208/api/3/cpu

# Get memory stats
curl http://localhost:61208/api/3/mem

# Get all stats
curl http://localhost:61208/api/3/all

# Get specific process
curl http://localhost:61208/api/3/processlist/pid/1234

# Pretty print JSON output
curl http://localhost:61208/api/3/cpu | python -m json.tool

# Get stats with authentication
curl -u admin:secret http://localhost:61208/api/3/cpu

Common Use Cases¶

Caso de uso 1: Monitoreo de servidores remotos¶

Monitorear múltiples servidores desde una ubicación central:

# On remote servers (run as service)
glances -s -B 0.0.0.0 --password

# On monitoring station
glances -c server1.example.com --password yourpassword

# Or use web interface
glances -w -B 0.0.0.0 --username admin --password secret
# Access via browser: http://server:61208

Use Case 2: Export Metrics to InfluxDB and Grafana¶

Establecer monitorización continua con visualización:

# Start glances with InfluxDB export
glances --export influxdb \
  --influxdb-host localhost \
  --influxdb-port 8086 \
  --influxdb-user admin \
  --influxdb-password secret \
  --influxdb-db glances

# Or configure in glances.conf and run as daemon
glances --quiet --export influxdb

Configure Grafana para usar InfluxDB como fuente de datos y crear paneles.

Use Case 3: Docker Container Monitoring¶

Monitor Docker contenedores junto a las métricas del sistema:

# Enable Docker monitoring
glances --docker

# Docker-only view (hide processes)
glances --docker --disable-process

# Export Docker stats to Prometheus
glances --docker --export prometheus --prometheus-port 9091

# Web interface with Docker stats
glances -w --docker

Use Case 4: Troubleshooting High CPU Usage¶

Identificar y analizar procesos intensivos en recursos:

# Start glances with focus on CPU
glances --percpu

# Interactive steps:
# 1. Press 'c' to sort by CPU usage
# 2. Press '1' to see per-CPU breakdown
# 3. Press 'T' to view process tree
# 4. Navigate to problematic process
# 5. Press 'k' to kill if needed

# Export data for analysis
glances --export csv --export-csv-file /tmp/cpu-analysis.csv -t 1

Use Case 5: Automated Monitoring Script¶

Crear un script de monitoreo con alertas:

#!/bin/bash
# monitor.sh - Check system health via Glances API

# Start glances web server in background
glances -w --quiet &
GLANCES_PID=$!
sleep 5

# Check CPU usage
CPU_USAGE=$(curl -s http://localhost:61208/api/3/cpu | \
  python -c "import sys, json; print(json.load(sys.stdin)['total'])")

if (( $(echo "$CPU_USAGE > 80" | bc -l) )); then
    echo "ALERT: CPU usage is ${CPU_USAGE}%"
    # Send notification or alert
fi

# Check memory usage
MEM_USAGE=$(curl -s http://localhost:61208/api/3/mem | \
  python -c "import sys, json; print(json.load(sys.stdin)['percent'])")

if (( $(echo "$MEM_USAGE > 90" | bc -l) )); then
    echo "ALERT: Memory usage is ${MEM_USAGE}%"
fi

# Cleanup
kill $GLANCES_PID

Buenas prácticas¶

Utilice archivos de configuración en lugar de opciones de línea de comandos para la configuración permanente para mantener la coherencia entre las sesiones y hacer configuraciones version-controlable
Cuenta intervalos de actualización adecuados - Use 2-5 segundos para el monitoreo interactivo, 10-30 segundos para el monitoreo de fondo para equilibrar la capacidad de respuesta con la carga del sistema

Más información innecesaria - Ocultar interfaces de red irrelevantes, dispositivos de disco y sistemas de archivos para reducir el desorden y centrarse en métricas importantes

** autenticación de implementación** para monitorización remota e interfaces web para evitar el acceso no autorizado a la información del sistema, especialmente en entornos de producción

Infórmese en bases de datos de series temporales como InfluxDB o Prometheus para análisis de tendencias a largo plazo, planificación de la capacidad y solución de problemas históricos

Actuar como un servicio sistémico en servidores Linux para la puesta en marcha automática y la continuidad de monitoreo a través de reinicios
Contenedores Monitor Docker cuando se ejecutan cargas de trabajo containerizzati para rastrear el uso de recursos por contenedor e identificar aplicaciones de recursos hambrientos
Use umbrales de color sabiamente - Configure umbrales cuidadosos / críticos basados en los rangos operativos normales de su sistema para evitar la fatiga alerta
Aprobar la API para automatización e integración con los sistemas de monitoreo existentes, herramientas de alerta o paneles personalizados

Mantenga las miradas actualizadas - Actualización regular para obtener nuevas características, mejoras de rendimiento y parches de seguridad

Troubleshooting¶

Issue	Solution
INLINE_CODE_99	Ensure glances is installed and in PATH. Try INLINE_CODE_100 and add INLINE_CODE_101 to PATH
High CPU usage by glances itself	Increase refresh interval with INLINE_CODE_102 or higher. Disable unused plugins with INLINE_CODE_103
Cannot connect to remote server	Check firewall rules allow port 61209. Verify server is running with INLINE_CODE_104. Test connectivity with INLINE_CODE_105
Web interface not accessible	Ensure glances started with INLINE_CODE_106 flag. Check if port 61208 is available with INLINE_CODE_107. Bind to all interfaces with INLINE_CODE_108
Docker containers not showing	Verify Docker socket is accessible: INLINE_CODE_109. Run glances with appropriate permissions or add user to docker group
Permission denied errors	Run with INLINE_CODE_110 for full system access, or adjust permissions for specific resources. Some features require root privileges
Sensors not displaying	Install INLINE_CODE_111 package and run INLINE_CODE_112. Install Python sensors library: INLINE_CODE_113
InfluxDB export not working	Verify InfluxDB is running and accessible. Check credentials and database name. Install InfluxDB client: INLINE_CODE_114
Missing GPU information	Install NVIDIA monitoring library: INLINE_CODE_115. Ensure NVIDIA drivers are installed and working
Config file changes not applied	Verify config file location with INLINE_CODE_116. Check file syntax. Restart glances after configuration changes
Process list incomplete	Increase process limit with INLINE_CODE_117 for unlimited. Check if kernel threads are hidden with INLINE_CODE_118
Unicode/display issues in terminal	Set proper locale: INLINE_CODE_119. Use INLINE_CODE_120 flag if terminal doesn't support Unicode

Dependencias opcionales¶

Instalar estos paquetes para mejorar la funcionalidad:

# Docker monitoring
pip3 install docker

# GPU monitoring (NVIDIA)
pip3 install nvidia-ml-py3

# Sensors support (Linux)
pip3 install py3sensors

# Web interface
pip3 install bottle

# InfluxDB export
pip3 install influxdb influxdb-client

# Prometheus export
pip3 install prometheus_client

# Elasticsearch export
pip3 install elasticsearch

# StatsD export
pip3 install statsd

# IP geolocation
pip3 install geoip2

# All optional features
pip3 install 'glances[all]'